School of Medicine
Showing 4,201-4,281 of 4,281 Results
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Mang Yu
BioDr. Yu is contributing to growing the School of Medicine’s portfolio of grants, especially those related to biomedical data science
https://orcid.org/0000-0003-3302-3180 -
Astrid Nicole Zamora
Postdoc Res Affiliate, Epidemiology and Population Health
Postdoc Res Affiliate, Office of Postdoctoral Affairs
Postdoc Res Affiliate-4, Office of Postdoctoral Affairs
Postdoc Res Affiliate-6, Office of Postdoctoral AffairsBioDr. Zamora's work examines how social and environmental contexts shape the three pillars of health, diet, sleep, and physical activity, and influence chronic disease risk. Her research integrates epidemiologic methods with community-based participatory approaches to translate findings into evidence-based public health strategies. Her goal is to advance chronic disease prevention and promote heart-healthy aging among Latino/a communities and underserved populations.
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Mengrui Zhang
Senior Biostatistician, Med/Quantitative Sciences Unit
BioMengrui’s research focuses on leveraging advanced statistical and machine-learning techniques to extract meaningful insights from complex biological datasets. His research interests include bioinformatics, deep learning/machine learning, statistical testing, high-dimensional data, non-parametric modeling, time series analysis, and spatial statistics. Additionally, he is also interested in developing new methods, tools, and pipelines for various kinds of biological datasets, especially in single cell, RNA-Seq, metagenomics, and proteomics to support drug discovery and development.
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Sha Zhang
Research Administrator, Medicine - Med/Immunology & Rheumatology
Current Role at StanfordFinancial Analyst
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Yuan Zhang
Basic Life Research Scientist, Psych/Major Laboratories and Clinical & Translational Neurosciences Incubator
Current Role at StanfordBasic Life Research Scientist
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Moss Zhao
Physical Science Research Scientist, Rad/Radiological Sciences Laboratory
BioDr. Moss Zhao's lab develops cutting-edge and clinically viable imaging technologies to improve the diagnosis and treatment of cerebrovascular diseases across the lifespan. His specific areas of expertise include physiological modeling, arterial spin labeling, Bayesian inference, PET/MRI, and artificial intelligence. His scientific contributions could significantly improve the early detection of strokes and dementia as well as enrich the knowledge of brain development in the first two decades of life.
Dr. Zhao received his DPhil at St Cross College of University of Oxford under the supervision of Prof. Michael Chappell. As an alumni mentor, he supports the career development of students of his alma mater. Since 2016, he has presented his work to more than 3000 delegates at international conferences and held leadership positions in professional societies. His research and teaching are supported by the American Heart Association, the National Institutes of Health, and the European Cooperation in Science and Technology. -
Hong Zheng
Research Engineer, Med/BMIR-ITI Institute
BioMy research focuses on understanding the multi-omic landscape (genomics, epigenomics, transcriptomics, etc.) and immune responses in human diseases (cancer, aging, and infectious diseases, etc.), and identifying robust gene signatures and targets for disease diagnostics, prognostics, and therapeutics.
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Judith Zimmermann
Physical Science Research Scientist, Rad/Radiological Sciences Laboratory
BioI am a research scientist in the laboratory of Dr. Brian Hargreaves at the Radiological Sciences Laboratory (RSL). My research objectives are driven by the need for faster, more accessible breast cancer screening using MRI. Specifically, I want to advance methods for contrast-free imaging, as well as enabling MRI exams with the patient positioned supine, that is laying on their back. I work in close collaboration with clinicians at Stanford Clinics, and contribute to translating new techniques to clinical practice.
I received my PhD from the Department of Computer Science, Technical University of Munich in 2021, jointly with the CMR Lab at Stanford, advised by Dr. Daniel Ennis. My PhD work focused on four-dimensional flow magnetic resonance imaging. After completion of my PhD studies, and prior to joining Dr. Hargreaves' lab, I was with the Breast Imaging Research Group (Dr. Nola Hylton) at UCSF.
